Steel Surface Defect Recognition Based on Support Vector Machine and Image Processing

China Mechanical Engineering ›› 2011, Vol. 22 ›› Issue (12): 1402-1405.

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Steel Surface Defect Recognition Based on Support Vector Machine and Image Processing

Tang Bo;Kong Jianyi;Wang Xingdong;Chen Li

Wuhan University of Science and Technology,Wuhan,430081 

Online:2011-06-26 Published:2011-07-01
Supported by:

Specialized Research Fund for the Doctoral Program of Higher Education of China（No. 20104219110001）;
Key Technology R&D Program of Wuhan（No. 200910321100）

基于图像处理的钢板表面缺陷支持向量机识别

汤勃;孔建益;王兴东;陈黎

武汉科技大学,武汉,430081

基金资助:
高等学校博士学科点专项科研基金资助项目(20104219110001)；武汉市科技攻关资助项目(200910321100)；武汉科技大学青年科技骨干培育计划资助项目(2009xz24)
Specialized Research Fund for the Doctoral Program of Higher Education of China（No. 20104219110001）;
Key Technology R&D Program of Wuhan（No. 200910321100）

Abstract

Abstract:

Based on machine vision technology a steel plate surface defect detection was discussed.The characteristic values for six kinds of typical steel plate surface defect images were extracted and the dimensions reduced reasonably form 32 to 20.The principles and algorithm of SVM were introduced, and the method to classify the six kinds of steel plate surface defects using SVM was presented.The optimization of important parameters was obtained.The steel surface defect images have been classified

with SVM,and then compared with a BP neural network algorithm. The results show that classification of steel strip surface defects based on SVM theory is effective, fast and robust.

Key words:

steel plate surface defect, support vector machine(SVM), recognition and classification, image processing

摘要：

论述了钢板表面缺陷的机器视觉检测方法，提取了6种表面缺陷图像的特征值并将其维数合理地从32维降为20维。介绍了支持向量机的原理和算法，给出了钢板表面缺陷类型识别的支持向量机方法,进行了有关重要参数的对比寻优。利用支持向量机模型对钢板表面缺陷进行了类型识别,并与BP神经网络算法进行了对比，结果验证了支持向量机算法的有效性、快速性和稳健性。

关键词:

钢板表面缺陷, 支持向量机, 识别与分类, 图像处理

CLC Number:



SHANG Bo, KONG Jian-Yi, WANG Xin-Dong, CHEN Li. Steel Surface Defect Recognition Based on Support Vector Machine and Image Processing[J]. China Mechanical Engineering, 2011, 22(12): 1402-1405.

汤勃, 孔建益, 王兴东, 陈黎.

基于图像处理的钢板表面缺陷支持向量机识别

[J]. 中国机械工程, 2011, 22(12): 1402-1405.

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Steel Surface Defect Recognition Based on Support Vector Machine and Image Processing

基于图像处理的钢板表面缺陷支持向量机识别

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